Docker Essentials for Python Developers and ML Engineers: Build, Ship, and Run Containers | Video 1 скачать в хорошем качестве

Docker Essentials for Python Developers and ML Engineers: Build, Ship, and Run Containers | Video 1

Master Docker fundamentals and eliminate "environment hell" forever. Learn to containerize Python applications, manage images, and build custom Dockerfiles in this hands-on 2026 guide. Docker is no longer optional for modern developers and MLOps engineers. In the US tech market, the ability to "containerize" an application is the divide between a junior and a senior engineer. This video is the first step in your journey to mastering the industry-standard stack for software deployment. In this technical deep-dive, we cover: Installation & Setup: Getting Docker Desktop ready on Windows, macOS, or Linux. The Container Lifecycle: Mastering docker run, ps, stop, and rm to manage isolated environments. Python Integration: How to run interactive Python shells and local scripts inside a container without installing Python on your host OS. The Dockerfile Blueprint: Building your own custom images from scratch to ensure your code runs exactly the same in production as it does on your laptop. Why this series? We don't just show you commands; we explain the "why" behind containerization. By the end of this video, you will have a working Python container and the mental model needed for the next steps: Web Apps and Docker Compose. #Docker #Python #MLOps #DevOps #SoftwareEngineering #Containerization #PythonProgramming #AIEngineer #CodingTutorial